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作 者:Bashayr Alqahtani Hanrui Li Abdul Momin Syed Nazek El-Atab
机构地区:[1]Electrical and Computer Engineering Program,Computer Electrical Mathematical Science and Engineering Division,King Abdullah University of Science and Technology(KAUST),Thuwal,Saudi Arabia [2]Electrical Engineering Department,College of Engineering,Princess Nourah Bint Abdulrahman University(PNU),Riyadh,Saudi Arabia
出 处:《Light(Science & Applications)》2025年第1期215-226,共12页光(科学与应用)(英文版)
基 金:supported by the King Abdullah University of Science and Technology(KAUST)Baseline Fund.
摘 要:Advancements in neuromorphic computing have given an impetus to the development of systems with adaptive behavior,dynamic responses,and energy efficiency characteristics.Although charge-based or emerging memory technologies such as memristors have been developed to emulate synaptic plasticity,replicating the key functionality of neurons—integrating diverse presynaptic inputs to fire electrical impulses—has remained challenging.In this study,we developed reconfigurable metal-oxide-semiconductor capacitors(MOSCaps)based on hafnium diselenide(HfSe2).The proposed devices exhibit(1)optoelectronic synaptic features and perform separate stimulus-associated learning,indicating considerable adaptive neuron emulation,(2)dual light-enabled charge-trapping and memcapacitive behavior within the same MOSCap device,whose threshold voltage and capacitance vary based on the light intensity across the visible spectrum,(3)memcapacitor volatility tuning based on the biasing conditions,enabling the transition from volatile light sensing to non-volatile optical data retention.The reconfigurability and multifunctionality of MOSCap were used to integrate the device into a leaky integrate-and-fire neuron model within a spiking neural network to dynamically adjust firing patterns based on light stimuli and detect exoplanets through variations in light intensity.
关 键 词:INTEGRATE VOLATILE integrating
分 类 号:O57[理学—粒子物理与原子核物理]
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